Sai Sri Vasthav Kalluri

A Software engineer with 2 years of experience in software design, development, and implementation. Proficient in C++, C, Python and Java programming languages, with experience in developing software solutions that meet client requirements. Strong familiarity with software development methodologies and experience working in agile and/or waterfall environments. Skilled in the use of software development tools and able to collaborate effectively with cross-functional teams to deliver high-quality software solutions.

 Early Prediction Of Sepsis using Clinical Data With Neural Networks | Python, Keras (03/2020 – 07/2020)

• Developed a machine learning model for early prediction of sepsis using clinical data. Implemented the model in Python using the CNN, RNN from the Keras library.

 Gender Classification | Python, Keras (03/2020 – 07/2020)

• Developed a neural network model for gender classification based on facial images using TensorFlow framework. Trained the model on a large dataset for high accuracy. Implemented in a scalable manner for real-world applications.

 COVID-19 Alerts | Python, Selenium (03/2019 – 04/2019)

• Developed a browser automation project to send daily Covid-19 updates (Country, State, District) to a user’s WhatsApp number using Selenium. The project utilized Selenium’s web-driving capabilities to scrape updated data from reliable sources and automatically send them to the user’s WhatsApp number.

 Realtor Web Application | Python, Django (03/2019 – 04/2019)

• A website which helps in people search real estate property and make queries to realtor agents about the listed properties.

 Krypto | Java (03/2019 – 04/2019)

• A GUI-based Java application that demonstrates the working of Encrypting Algorithms such as Vignere, Hill DiGraph, Hill TriGraph Ciphers, etc

A Research Paper on Early Prediction of Sepsis Using Convolutional and Recurrent Neural Networks published in SPRINGER Journal